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omaha
2002 Jan 08
0
chi square and mahalanobis
...the outcome of a nuclear magnetic resonance experiment, so each of the
169 points has the same unit.
As I want to do some multivariate calibration using these data, I checked
whether some multivariate outliers existed. I calculated Mahalanobis
distances and did a
qqplot(qchisq(ppoints(382),169),XMaha)
where XMaha contained my Mahalanobis distances. The points on my QQ plot
were nicely aligned onto a y=x line, so no outliers.
For some reasons I need to scale my data set so as that each measure
has the same initial point, i.e. the first point of each measure must be
1. To be clear I did:
x1&l...